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: quantify alongshore wave-driven sediment-transport patterns, with a focus on identifying coastal areas where beach stability is controlled by the interplay of varying sea levels and the directional structure
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mitigation. Advanced simulation frameworks will be developed, combining wave & finite element based methods, multi-scale homogenization, and nonlinear modelling to efficiently investigate and evaluate a wide
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such boards through our spin-off OpticsFoundry . Join us to push this technology to the next level in a collaboration with the Nonlinear Nanophotonics group of UTwente. You will expand our robotic
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opportunities? Do you have a background in Electric Power and/or Control Engineering, and are you interested in working at the intersection between both fields? As a PhD candidate with us, you will work toward
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) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your personal sphere
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(Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your
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. Irene Otero-Muras, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation
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(Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your
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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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architecture, embedded systems, robotics, nonlinear and hybrid control systems, intelligent transportation systems, wireless networks, 3G and 4G cellular systems, agile radio, electromagnetics, plasma physics